{"total":21,"rows":[{"id":"2110.05243","title":"Score-based diffusion models for accelerated MRI","created":"2021-10-08","cited_by_count":311,"area":"diffusion"},{"id":"2304.11751","title":"Score-Based Diffusion Models as Principled Priors for Inverse Imaging","created":"2023-04-23","cited_by_count":127,"area":"diffusion"},{"id":"2402.14017","title":"D-Flow: Differentiating through Flows for Controlled Generation","created":"2024-02-21","cited_by_count":122,"area":"diffusion"},{"id":"2410.02423","title":"PnP-Flow: Plug-and-Play Image Restoration with Flow Matching","created":"2024-10-03","cited_by_count":97,"area":"diffusion"},{"id":"2211.12343","title":"Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems","created":"2022-11-20","cited_by_count":60,"area":"diffusion"},{"id":"2405.18816","title":"Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching","created":"2024-05-29","cited_by_count":53,"area":"diffusion"},{"id":"2211.13926","title":"Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction","created":"2022-11-25","cited_by_count":27,"area":"diffusion"},{"id":"2506.03979","title":"Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach","created":"2025-06-04","cited_by_count":18,"area":"diffusion"},{"id":"2211.13006","title":"Quantized Compressed Sensing with Score-based Generative Models","created":"2022-11-02","cited_by_count":15,"area":"diffusion"},{"id":"2302.05290","title":"Removing Structured Noise with Diffusion Models","created":"2023-01-20","cited_by_count":14,"area":"diffusion"},{"id":"2505.20789","title":"Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models","created":"2025-05-27","cited_by_count":7,"area":"diffusion"},{"id":"2302.00919","title":"QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based Generative Models","created":"2023-02-02","cited_by_count":4,"area":"diffusion"},{"id":"2112.03860","title":"Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models","created":"2021-12-07","cited_by_count":3,"area":"diffusion"},{"id":"2408.02866","title":"Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models","created":"2024-08-05","cited_by_count":3,"area":"diffusion"},{"id":"2509.20511","title":"A Recovery Theory for Diffusion Priors: Deterministic Analysis of the Implicit Prior Algorithm","created":"2025-09-24","cited_by_count":3,"area":"diffusion"},{"id":"2505.21135","title":"Learning Single Index Models with Diffusion Priors","created":"2025-05-27","cited_by_count":2,"area":"diffusion"},{"id":"2510.05205","title":"A Data-Driven Prism: Multi-View Source Separation with Diffusion Model Priors","created":"2025-10-06","cited_by_count":2,"area":"diffusion"},{"id":"2305.07712","title":"Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior","created":"2023-05-12","cited_by_count":1,"area":"diffusion"},{"id":"2404.03706","title":"Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems","created":"2024-04-04","cited_by_count":1,"area":"diffusion"},{"id":"2506.15929","title":"Moir\\'eXNet: Adaptive Multi-Scale Demoir\\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior","created":"2025-06-19","cited_by_count":1,"area":"diffusion"},{"id":"2511.12471","title":"Diffusion Model Based Signal Recovery Under 1-Bit Quantization","created":"2025-11-16","cited_by_count":1,"area":"diffusion"}],"next_cursor":null}